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Medicine (Baltimore). 2019 May;98(22):e15842. doi: 10.1097/MD.0000000000015842.

Role of the physical fitness test in risk prediction of diabetes among municipal in-service personnel in Guangxi.

Zhao M1,2,3,4, Wu Z5, Huang Y3, Jiang Z3, Mo X3, Lowis H6, Zhao Y4, Zhang M1,2,3.

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Southern Medical University, Guangzhou.
Department of Rehabilitation Medicine, Guangdong Geriatric Institute, Guangdong Academy of Medical Sciences, Guangdong General Hospital, Guangzhou.
Department of Cardiopulmonary Rehabilitation Center, Jiangbin Hospital, Guangxi.
Physical Fitness Surveillance and Health Management Association, Guangxi Zhuang Autonomous Region, Nanning.
Department of Intensive medicine, Foshan Hospital of Traditional Chinese Medicine, Foshan.
Department of Physical Therapy and Therapy Scheduling, Drei-Burgen-Klinik, Bad Kreuznach.


To explore the relationship between risk prediction of diabetes mellitus (DM) and different physical fitness parameters in municipal in-service personnel in Guangxi.This was a cross-sectional study conducted in China from July 2015 to December 2016. We enrolled in-service adults (20-65 year of age) from public institutions. All subjects underwent National Physical Fitness Test (NPFT) and EZSCAN screening.The 5668 subjects were 42.9±12.3 years; 2984 (52.6%) were male; 3998 (70.5%), 1579 (27.9%) and 85 (1.6%) were Han, Zhuang, and other ethnicities, respectively. The multivariable analysis showed that systolic blood pressure (odds ratio [OR] = 1.013, 95% confidence interval [CI]: 1.003-1.022, P = .01), Harvard step test index (OR = 0.958, 95% CI: 0.941-0.976, P <.001), bend-ahead in sitting (OR = 0.945, 95% CI: 0.926-0.963, P <.001), hand grip strength (OR = 0.981, 95% CI: 0.966-0.997, P = .02), vertical jump height (OR = 0.969, 95% CI: 0.944-0.996, P = .02), time of single-leg standing with eyes closed (OR = 0.981, 95% CI: 0.968-0.995, P = .007), choice reaction time (OR = 2.103, 95% CI: 1.261-3.507, P = .004), and body composition minerals (OR = 1.649, 95% CI: 1.261-1.813, P < .001) were independently associated with DM. The resulting equation for the prediction of DM had an area under the receiver operating characteristic curve of 0.808, indicating good predictive ability.NPFT and EZSCAN could help predict the risk of diabetes and give early warnings to undertake preventive actions such as changing diet and performing physical activity.

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